Green and Low Carbon Development of Water Treatment Technology

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 9724

Special Issue Editors

School of Environment Science and Engineering, Tianjin University, Tianjin, China
Interests: research and application of smart water theory; simulation and planning of urban water supply and drainage systems; safe transmission and distribution of water supply networks; research and application of detection and diagnosis technology of drainage networks; theoretical research and technical development of water treatment
Special Issues, Collections and Topics in MDPI journals
School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
Interests: hydraulic and water quality modeling of water distribution systems; ecological conservation of water environment systems; study of water quality model and its uncertainty; water supply networks; environmental system optimization
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Environmental Science and Technology, Tianjin University, Tianjin 300350, China
Interests: water treatment theory and technology; pipe network water quality research; environmental micro interface process research; colloidal pollutants; pollutant migration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Effective water treatment technology is the key to water safety and human health. Access to safe drinking water for all people and improved water quality and wastewater management by 2030 are two of the United Nations Sustainable Development Goals (SDG). Green and low-carbon technologies refers to the technologies that achieve satisfactory treatment effect under the condition of low carbon emissions and less pollutants generation. These technologies are considered essential to achieve SDG, so it is needed to follow the recent trends of water treatment technology. In this Special Issue, we seek the interactions between green and low-carbon development and water treatment technology.

Topics of this Special Issue we are looking forward to include (but are not limited to):

  • New ways of water and wastewater treatment technologies;
  • Green and low-carbon development strategies;
  • Water environment simulation models;
  • Environmental micro interface reactions.

By focusing on novel results of this topics, this Special Edition will provide a series of studies on water treatment technologies.

Dr. Peng Zhao
Dr. Sen Peng
Dr. Weigao Zhao
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • water treatment
  • green development
  • low carbon development
  • drinking water
  • environmental micro interface

Published Papers (5 papers)

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Research

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28 pages, 10483 KiB  
Article
Integrated Constructed Wetland–Microbial Fuel Cell Systems Using Activated Carbon: Structure-Activity Relationship of Activated Carbon, Removal Performance of Organics and Nitrogen
by Xiaoou Wang, Ming Xue, Zhaoyu Wang, Weiyi Xia and Changping Zhang
Water 2024, 16(2), 278; https://doi.org/10.3390/w16020278 - 12 Jan 2024
Viewed by 1130
Abstract
This study designed integrated constructed wetland–microbial fuel cell (CW–MFC) systems using activated carbon (AC) as both CW substrates and MFC anodes and investigated the structure-activity relationship of six kinds of commercial columnar AC, as well as the organics and nitrogen removal, microbial activity [...] Read more.
This study designed integrated constructed wetland–microbial fuel cell (CW–MFC) systems using activated carbon (AC) as both CW substrates and MFC anodes and investigated the structure-activity relationship of six kinds of commercial columnar AC, as well as the organics and nitrogen removal, microbial activity and diversity of CW–MFCs. Results showed that the nitrogen adsorption by AC tended to be a linear process in which physical adsorption played a leading role and micropores made great contributions. A higher specific surface area, developed mesopores, and oxygen functionalities were conducive to the capacitance properties of AC, while a higher specific surface area and developed micropores were conducive to reduce material resistance and improve ion permeability. Coconut-shell-based AC had both excellent nitrogen adsorption capacity and electrochemical properties, making it ideal as both CW substrates and MFC anodes for CW–MFCs. The electricity generation, coulombic efficiency, internal resistance, and organics and nitrogen removal of CW–MFCs were positively correlated with the total depth of AC anodes. The total depth of AC anodes can be determined based on the influent organics/nitrogen loadings and organics/nitrogen removal load of AC, and a relatively smaller depth of a single AC anode (5 cm) was recommended. The MFC effectively improved the enzymatic activity (by 10.33% dehydrogenase, 8.72% catalase, and 7.35% ammonia monooxygenase), nitrification/denitrification intensity (by 9.53%/6.68%), and microbial diversity (by 1.64–4.07%) of AC (MFC anodes) in CW–MFCs, while the depth of a single AC anode barely influenced the microbial activity and diversity. MFCs increased COD and NH3-N removal in CW–MFCs by 11.60% and 3.4%, respectively. The increased total adsorption capacity of AC with the increase of its total depth narrowed the difference in COD removal resulting from the promotion of MFCs on organics degradation. MFCs increased TN removal in CW–MFCs by 5.29% through promoting denitrification in cathodes and enhancing NH3-N assimilation in anodes. The phyla of EAB (Proteobacteria, Bacteroidetes, Firmicutes, and Acidobacteria) and genera of EAB (Citrobacter, Geobacter, and Pseudomonas) accounted for 85–86% and 15.58–16.64% of the microbial community on AC anodes in CW–MFCs, respectively. Full article
(This article belongs to the Special Issue Green and Low Carbon Development of Water Treatment Technology)
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21 pages, 3385 KiB  
Article
Prediction of Daily Water Consumption in Residential Areas Based on Meteorologic Conditions—Applying Gradient Boosting Regression Tree Algorithm
by Zhengxuan Li, Sen Peng, Guolei Zheng, Xianxian Chu and Yimei Tian
Water 2023, 15(19), 3455; https://doi.org/10.3390/w15193455 - 30 Sep 2023
Cited by 1 | Viewed by 1180
Abstract
A more accurate way of water consumption forecasting can be used to help people develop a scheduling plan of water workers more targeting; therefore, this paper aims to establish a forecast model of daily water consumption based on meteorological conditions. At present, most [...] Read more.
A more accurate way of water consumption forecasting can be used to help people develop a scheduling plan of water workers more targeting; therefore, this paper aims to establish a forecast model of daily water consumption based on meteorological conditions. At present, most studies of daily water consumption forecasts focus on historical data or single water use influencing factors; moreover, daily water consumption could be influenced by meteorologic conditions. The influence of complex meteorology factors on water consumption is analyzed based on a gradient-boosted regression tree (GBRT) model. The correlation of 10 meteorologic factors has been discussed and divided into 5 categories, including temperature factor, pressure factor, precipitation factor, sunshine factor, and wind factor. Through the GBRT algorithm, the daily water consumption of residential area could be predicted with a maximum error of ±8%. The results show that the average ground temperature (the feature importance accounts for 81% of the total) has the greatest impact on the daily water consumption of the residential community, followed by the somatosensory temperature (the feature importance accounts for 7% of the total). The method can provide the daily water consumption of water consumption nodes with higher precision for municipal water supply network model accuracy. It also provides a reference for water utility operation schemes and urban development planning. Full article
(This article belongs to the Special Issue Green and Low Carbon Development of Water Treatment Technology)
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17 pages, 1850 KiB  
Article
Optimization of Adsorption Conditions Using Response Surface Methodology for Tetracycline Removal by MnFe2O4/Multi-Wall Carbon Nanotubes
by Weigao Zhao, Chenjie Hao, Yiping Guo, Wanfei Shao, Yimei Tian and Peng Zhao
Water 2023, 15(13), 2392; https://doi.org/10.3390/w15132392 - 28 Jun 2023
Cited by 5 | Viewed by 2084
Abstract
In this study, the optimal conditions and effects of external factors on tetracycline adsorption by magnetic multi-walled carbon nanotubes (MMWCNTs) were established by a response surface methodology for the first time. Batch adsorption experiments showed that increasing the dosage and contact time effectively [...] Read more.
In this study, the optimal conditions and effects of external factors on tetracycline adsorption by magnetic multi-walled carbon nanotubes (MMWCNTs) were established by a response surface methodology for the first time. Batch adsorption experiments showed that increasing the dosage and contact time effectively promoted the adsorption of tetracycline and maximum removal of 97.93–99.13% was achieved at pH 3–7. The pseudo-second-order model and Fourier-transform infrared spectroscopy spectra indicated that the mechanism of adsorption may be π–π electron interaction and cation–π electron bonding. Design Expert was utilized to develop a response surface methodology for the analysis and optimization of tetracycline adsorption by magnetic multi-walled carbon nanotubes. The Box–Behnken design (BBD) results showed that the optimization exhibited high significance and reliability. The main effect plots and Pareto chart indicated that pH exerted a significant individual effect on the regulation of adsorption, while 3D response surface plots and interaction effect plots exhibited a significant antagonistic interaction between pH and contact time. A maximum tetracycline removal of 99.16% was achieved under the optimal conditions of 12 mg adsorbent dosage at pH 5.43, with an adsorption time of 120 min. Mathematical and experimental results confirmed the accuracy of the established optimal conditions. Full article
(This article belongs to the Special Issue Green and Low Carbon Development of Water Treatment Technology)
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19 pages, 11214 KiB  
Article
Leakage Detection in Water Distribution Networks Based on Multi-Feature Extraction from High-Frequency Pressure Data
by Xingqi Wu, Sen Peng, Guolei Zheng, Xu Fang and Yimei Tian
Water 2023, 15(6), 1187; https://doi.org/10.3390/w15061187 - 19 Mar 2023
Viewed by 2426
Abstract
Leakage detection is an important task to ensure the operational safety of water distribution networks. Leakage characteristic extraction based on high-frequency data has been widely used for leakage detection in experimental networks. However, the accuracy of single-feature-based methods is limited by the interference [...] Read more.
Leakage detection is an important task to ensure the operational safety of water distribution networks. Leakage characteristic extraction based on high-frequency data has been widely used for leakage detection in experimental networks. However, the accuracy of single-feature-based methods is limited by the interference of background pressure fluctuations in networks. In addition, the setting of leakage diagnosis thresholds has been insufficiently studied, but influences leakage detection performance greatly. Hence, a new method of leakage detection is proposed based on multi-feature extraction. The multi-features of leakage are composed of instantaneous characteristics (ICs) and trend characteristics (TCs), which constitute comprehensive leakage information. The levels of the instantaneous and trend pressure drops in background pressure fluctuations in network environments are quantified for the setting of leakage diagnosis thresholds. In addition, ICs and TCs are used for leakage degree prediction. The proposed method was applied to an experimental network. Compared with the single-feature-based method and the cumulative sum (CUSUM) method, the proposed method achieved increases of 6.01% and 13.66% in F-Scores, respectively, and showed better adaptability to background pressure fluctuations in complex network environments. Full article
(This article belongs to the Special Issue Green and Low Carbon Development of Water Treatment Technology)
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Review

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16 pages, 748 KiB  
Review
Status of Research on Greenhouse Gas Emissions from Wastewater Collection Systems
by Dongmei Gu, Yiwen Liu, Weigao Zhao, Shuntian Qiu, Nuo Cui, Xinyue Hu and Peng Zhao
Water 2023, 15(14), 2512; https://doi.org/10.3390/w15142512 - 9 Jul 2023
Cited by 1 | Viewed by 2158
Abstract
Wastewater collection systems (WCSs) not only play an indispensable role in urban life but also significantly contribute to greenhouse gas (GHG) emissions. Based on extensive literature research, this study (1) summarizes current research on the production mechanisms, influencing factors, control techniques, and quantitative [...] Read more.
Wastewater collection systems (WCSs) not only play an indispensable role in urban life but also significantly contribute to greenhouse gas (GHG) emissions. Based on extensive literature research, this study (1) summarizes current research on the production mechanisms, influencing factors, control techniques, and quantitative estimates of GHGs emitted from WCSs and (2) presents initial estimates of total GHG emissions from WCSs in China. A variety of factors affect GHG production, but standard methods are still lacking to quantify GHG emissions from WCSs. China’s WCSs emit approximately 3.86–15.35 Mt of CO2eq annually (equivalent to 5.1–20.2% of the GHG emissions from wastewater treatment). Thus, GHG emissions from WCSs are significant and deserve attention. Control of GHGs in WCSs can be achieved through the application of chemical agents, while the construction of a green stormwater infrastructure can further facilitate GHG reductions. This review provides valuable insights for policymakers to consider in future policy planning related to GHG reduction and the improved operation of WCSs. Future research should focus on quantifying the impacts of various factors and accumulating field data on GHGs in various regions to facilitate the development of standardized calculation methods. Full article
(This article belongs to the Special Issue Green and Low Carbon Development of Water Treatment Technology)
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